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DOI10.1016/j.atmosres.2019.104799
Classifying aerosol particles through the combination of optical and physical-chemical properties: Results from a wintertime campaign in Rome (Italy)
Valentini S.; Barnaba F.; Bernardoni V.; Calzolai G.; Costabile F.; Di Liberto L.; Forello A.C.; Gobbi G.P.; Gualtieri M.; Lucarelli F.; Nava S.; Petralia E.; Valli G.; Wiedensohler A.; Vecchi R.
发表日期2020
ISSN0169-8095
卷号235
英文摘要The “Carbonaceous Aerosol in Rome and Environs” (CARE) experiment took place at a Mediterranean urban background site in Rome (Italy) deploying a variety of instrumentation to assess aerosol physical-chemical and optical properties with high-time resolution (from 1 min to 2 h). In this study, aerosol optical properties, chemical composition, and size distribution data were examined with a focus on the analysis of several intensive optical properties obtained from multi-wavelength measurements of aerosol scattering and absorption coefficients. The spectral behaviour of several quantities related to both aerosol composition and size was explored, analysing their high-time resolved temporal patterns and combining them in order to extract the maximum information from all the available data. A methodology to separate aerosol types using optical data only is here proposed and applied to an urban area characterised by a complex mixture of particles. A key is given to correctly disentangle cases that could not be distinguished observing only one or few parameters, but that can be clearly separated using a suitable ensemble of optical properties. The SSCAAE, i.e. the wavelength dependence of the Single Scattering co-albedo 1-SSA (where SSA is the Single Scattering Albedo) - that efficiently responds to both aerosol size and chemical composition – resulted to be the best optical intensive parameter to look at for the discrimination between episodes characterised by specific aerosol types (e.g. sea salt, Saharan dust) and more mixed conditions dominated by local emissions. However, this study also highlighted that it is necessary to combine temporal patterns of different optical parameters to robustly associate SSCAAE features to specific aerosol types. In addition, the complete chemical speciation and the high-time resolved size distribution were used to confirm the aerosol types identified via a combination of aerosol optical properties. Look-up tables with most suitable ranges of values for optical variables were produced; therefore, these pieces of information can be used at the same site or at locations with similar features to quickly identify the occurrence of aerosol episodes. Graphical frameworks (both from the literature and newly designed) are also proposed; for each scheme features, advantages, and limitations are discussed. © 2019
英文关键词Aerosol classification schemes; High time resolution; Intensive optical properties
学科领域Aerosols; Chemical analysis; Chemical speciation; Particle size analysis; Size distribution; Solar radiation; Table lookup; Urban growth; Aerosol optical property; Carbonaceous aerosol; Chemical compositions; Classification scheme; High-time resolution; Physical chemical property; Single scattering albedo; Wavelength dependence; Optical properties; absorption coefficient; aerosol property; chemical composition; classification; optical property; resolution; size distribution; winter; Italy; Lazio; Roma [Lazio]; Rome
语种英语
scopus关键词Aerosols; Chemical analysis; Chemical speciation; Particle size analysis; Size distribution; Solar radiation; Table lookup; Urban growth; Aerosol optical property; Carbonaceous aerosol; Chemical compositions; Classification scheme; High-time resolution; Physical chemical property; Single scattering albedo; Wavelength dependence; Optical properties; absorption coefficient; aerosol property; chemical composition; classification; optical property; resolution; size distribution; winter; Italy; Lazio; Roma [Lazio]; Rome
来源期刊Atmospheric Research
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/120491
作者单位Department of Physics, Università degli Studi di Milano and INFN-Milan, Milan, 20133, Italy; CNR Institute of Atmospheric Sciences and Climate, Via Fosso del Cavaliere 100, Rome, 00133, Italy; INFN-Florence, Sesto Fiorentino, 50019, Italy; ENEA – SSPT – MET – Atmospheric Pollution Laboratory (INAT), via Martiri di Monte Sole 4, Bologna, 40129, Italy; Department of Physics and Astronomy, Università degli Studi di Firenze, Florence, 50121, Italy; Leibniz Institute for Tropospheric Research, Permoserstrasse 15, Leipzig, 04318, Germany
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Valentini S.,Barnaba F.,Bernardoni V.,et al. Classifying aerosol particles through the combination of optical and physical-chemical properties: Results from a wintertime campaign in Rome (Italy)[J],2020,235.
APA Valentini S..,Barnaba F..,Bernardoni V..,Calzolai G..,Costabile F..,...&Vecchi R..(2020).Classifying aerosol particles through the combination of optical and physical-chemical properties: Results from a wintertime campaign in Rome (Italy).Atmospheric Research,235.
MLA Valentini S.,et al."Classifying aerosol particles through the combination of optical and physical-chemical properties: Results from a wintertime campaign in Rome (Italy)".Atmospheric Research 235(2020).
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